CN107886571A - A kind of Mathematical Modeling Methods using computer hyperspace - Google Patents

Abstract

The invention discloses a kind of Mathematical Modeling Methods using computer hyperspace, following steps are specifically included：First various dimensions are carried out to reality scene to take pictures, then by the picture of computer acquisition and be subject to various dimensions spatial analysis；Being arranged in CAD mapping softwares includes the DWG file of photo mesorelief, and model chassis is established in modeling software, and model chassis scales with reality scene for equal proportion；Determine BUILDINGS MODELS Spatial Dimension；The model of scene is created using hyperspace；After the completion of model creation, model planning is carried out on model chassis, the performance of BUILDINGS MODELS is simulated using ecotecture software, adjacent architectural model is carried out into Spatial Dimension tissue, yardstick and moulding is calculated, and prevents the collision of model；The model finally planned is obtained, then model is placed on to the relevant position on model chassis；And output model scene image；And carry out emulation and obtain output simulating image, the final various dimensions mathematical modeling obtained by computer component.

Description

A Mathematical Modeling Method Using Computer Multidimensional Space

technical field

The invention belongs to the technical field of computers, and in particular relates to a mathematical modeling method utilizing computer multi-dimensional space.

Background technique

A mathematical model is a kind of simulation, which is an abstract and concise description of the essential attributes of an actual subject with mathematical symbols, mathematical formulas, programs, graphics, etc. It may explain certain objective phenomena, or predict future development laws, or It can provide an optimal strategy or a better strategy in a certain sense for controlling the development of a certain phenomenon. Mathematical models are generally not a direct copy of real problems. Its establishment often requires people to observe and analyze real problems in depth and subtlety, and people need to use various mathematical knowledge flexibly and skillfully. The process of abstracting and extracting mathematical models from practical subjects by applying knowledge is called mathematical modeling.

No matter what kind of practical problems are solved in the field of science and technology and production with mathematical methods, or combined with other disciplines to form an interdisciplinary subject, the first and key step is to establish a mathematical model of the research object and calculate and solve it (usually with the help of a computer); The combination of modeling and computer technology has played a huge role in the era of knowledge economy.

At present, most computer modeling methods are complicated, and it is unlikely to be truly transformed into computer programming. The simulation accuracy is not high, and the function relationship is not accurate, and they mostly stay at the theoretical stage. Moreover, the existing mathematical modeling methods for multi-dimensional spaces cannot be effectively combined with reality and are relatively very complicated, and cannot be programmed and operated in the actual modeling process. The mathematical modeling methods of most multidimensional spaces are complex.

Contents of the invention

The object of the present invention is to provide a mathematical modeling method using computer multi-dimensional space in order to solve the above-mentioned deficiencies in the prior art.

In order to achieve the above object, a kind of mathematical modeling method utilizing computer multi-dimensional space designed by the present invention specifically comprises the following steps:

S1. First take multi-dimensional photos of the real scene, and then analyze the multi-dimensional space through the pictures collected by the computer, and specifically analyze the spatial position in multiple dimensions and whether there is an occlusion problem;

S2, set up the original model, organize the DWG file including the terrain in the photo in the CAD drawing software, and set up the model chassis in the modeling software, and the model chassis and the real scene are proportionally scaled;

S3. Determine the space dimension of the building model; and use the multi-dimensional space to create a model of the scene;

S4. After the model is created, plan the model on the model chassis, use the ecological building software to simulate the performance of the building model, combine the original shape of the building and the relationship between the surrounding environment, organize the adjacent building models in spatial dimensions, Calculate the scale and shape to prevent model collisions;

S5. Obtain the final planned model, and then place the model on the corresponding position of the model chassis; and output the scene image of the model; and perform simulation to obtain the output simulation image, obtain and generate a dynamic image, and finally obtain a multi-dimensional mathematical model composed of computer components.

Further, the specific steps of how to determine the spatial dimension of the building model in step S3 are as follows:

S31, the data collected by the computer through the pre-photographed data and the position of the occluder are analyzed; then the data is discretely processed;

S32, then initially determine the spatial dimension;

S33. Fill in the initially determined data of each dimension of the multidimensional space into the ranks and columns of the determinant;

S34. Simplify the determinant through linear algebra theory, and establish a functional relationship;

S35, bring the discrete data in the step S31 into the function to perform the verification operation;

S36, if the error verified in step S35 is greater than the specified range, then reselect nearby numerical values and establish a functional relationship;

S37. If the number of retries reaches the specified number, return to step S32 to re-determine the appropriate spatial dimension; until the verification is qualified, the final spatial dimension of the model is obtained.

Further, the modeled model is scaled proportionally to the final object.

Further, the pixel value in the simulation process is the size of the image that can be seen clearly when the model is scaled to 10%.

Further, the pixel value in the process of taking pictures is the size that can still be seen clearly when the photo is zoomed to 10% after being put into the computer.

A mathematical modeling method using computer multi-dimensional space obtained by the present invention has the following advantages: the present invention firstly shoots multi-dimensional space on the spot, then obtains photos, obtains multi-dimensional space by computer according to photo information, and then uses computer calculation model, And analyze the dimensions of the model in real time, and finally obtain the model, perform simulation, obtain dynamic images, and finally create a physical building based on the scale of the dynamic images.

Detailed ways

This embodiment will be further described below in conjunction with the embodiment.

Example:

A kind of mathematical modeling method utilizing computer multi-dimensional space provided by this embodiment, specifically comprises the following steps:

S1. First take multi-dimensional photos of the real scene, and then analyze the multi-dimensional space through the pictures collected by the computer, and specifically analyze the spatial position in multiple dimensions and whether there is an occlusion problem;

S2, set up the original model, organize the DWG file including the terrain in the photo in the CAD drawing software, and set up the model chassis in the modeling software, and the model chassis and the real scene are proportionally scaled;

S3. Determine the space dimension of the building model; and use the multi-dimensional space to create a model of the scene;

S4. After the model is created, plan the model on the model chassis, use the ecological building software to simulate the performance of the building model, combine the original shape of the building and the relationship between the surrounding environment, organize the adjacent building models in spatial dimensions, Calculate the scale and shape to prevent model collisions;

S5. Obtain the final planned model, and then place the model on the corresponding position of the model chassis; and output the scene image of the model; and perform simulation to obtain the output simulation image, obtain and generate a dynamic image, and finally obtain a multi-dimensional mathematical model composed of computer components.

Further, the specific steps of how to determine the spatial dimension of the building model in step S3 are as follows:

S31, the data collected by the computer through the pre-photographed data and the position of the occluder are analyzed; then the data is discretely processed;

S32, then initially determine the spatial dimension;

S33. Fill in the initially determined data of each dimension of the multidimensional space into the ranks and columns of the determinant;

S34. Simplify the determinant through linear algebra theory, and establish a functional relationship;

S35, bring the discrete data in the step S31 into the function to perform the verification operation;

S36, if the error verified in step S35 is greater than the specified range, then reselect nearby numerical values and establish a functional relationship;

S37. If the number of retries reaches the specified number, return to step S32 to re-determine the appropriate spatial dimension; until the verification is qualified, the final spatial dimension of the model is obtained.

Further, the modeled model is scaled proportionally to the final object.

Further, the pixel value in the simulation process is the size of the image that can be seen clearly when the model is scaled to 10%.

Further, the pixel value in the process of taking pictures is the size that can still be seen clearly when the photo is zoomed to 10% after being put into the computer.

In this embodiment, the multi-dimensional space is first photographed on the spot, and then the photos are obtained, and the multi-dimensional space is obtained through the computer according to the photo information, and then the computer is used to calculate the model, and the dimensions of the model are analyzed in real time, and finally the model is obtained, and the simulation is performed to obtain a dynamic image , and finally create a physical building based on the scaling of the dynamic image.

It will be apparent to those skilled in the art that the invention is not limited to the details of the above-described exemplary embodiments, but that the invention can be embodied in other specific forms without departing from the spirit or essential characteristics of the invention. Accordingly, the embodiments should be regarded in all points of view as exemplary and not restrictive, the scope of the invention being defined by the appended claims rather than the foregoing description, and it is therefore intended that the scope of the invention be defined by the appended claims rather than by the foregoing description. All changes within the meaning and range of equivalents of the elements are embraced in the present invention.

Claims (6)

1. A mathematical modeling method utilizing computer multidimensional space, is characterized in that, specifically comprises the following steps: S1. First take multi-dimensional photos of the real scene, and then analyze the multi-dimensional space through the pictures collected by the computer, and specifically analyze the spatial position in multiple dimensions and whether there is an occlusion problem; S2, set up the original model, organize the DWG file including the terrain in the photo in the CAD drawing software, and set up the model chassis in the modeling software, and the model chassis and the real scene are proportionally scaled; S3. Determine the space dimension of the building model; and use the multi-dimensional space to create a model of the scene; S4. After the model is created, plan the model on the model chassis, use the ecological building software to simulate the performance of the building model, combine the original shape of the building and the relationship between the surrounding environment, organize the adjacent building models in spatial dimensions, Calculate the scale and shape to prevent model collisions; S5. Obtain the final planned model, and then place the model on the corresponding position of the model chassis; and output the scene image of the model; and perform simulation to obtain the output simulation image, obtain and generate a dynamic image, and finally obtain a multi-dimensional mathematical model composed of computer components. 2. A mathematical modeling method utilizing computer multi-dimensional space according to claim 1, characterized in that the specific steps of how to determine the spatial dimension of the building model in step S3 are as follows: S31, the data collected by the computer through the pre-photographed data and the position of the occluder are analyzed; then the data is discretely processed; S32, then initially determine the spatial dimension; S33. Fill in the initially determined data of each dimension of the multidimensional space into the ranks and columns of the determinant; S34. Simplify the determinant through linear algebra theory, and establish a functional relationship; S35, bring the discrete data in the step S31 into the function to perform the verification operation; S36, if the error verified in step S35 is greater than the specified range, then reselect nearby numerical values and establish a functional relationship; S37. If the number of retries reaches the specified number, return to step S32 to re-determine the appropriate spatial dimension; until the verification is qualified, the final spatial dimension of the model is obtained. 3. A method of mathematical modeling using computer multi-dimensional space according to claim 1 or 2, characterized in that the model of the modeling is scaled proportionally to the final object. 4. A kind of mathematical modeling method utilizing computer multi-dimensional space according to claim 1 or 2, is characterized in that, the pixel value in simulation process is when this model zooms to 10% and can also see the size of image clearly . 5. a kind of mathematical modeling method utilizing computer multi-dimensional space according to claim 3, is characterized in that, the pixel value in simulation process is when this model zooms to 10% and can also see the size of image clearly. 6. A kind of mathematical modeling method utilizing computer multi-dimensional space according to claim 1 or 2, characterized in that, the pixel value in the photographing process can still be seen clearly when the photo is put into the computer and zoomed to 10% The size of the image.